Aesthetic discomfort in hand osteoarthritis: results from the LIège Hand Osteoarthritis Cohort (LIHOC)
Bibliographic record
Abstract
INTRODUCTION: The primary complaint of patients with hand osteoarthritis (OA) is frequently the inelegant appearance of their hands. Only one study has been conducted to assess the magnitude of and identify the determinants of aesthetic discomfort in hand OA. METHODS: The LIège Hand Osteoarthritis Cohort is a prospective cohort of 203 patients diagnosed with hand OA. At baseline, these patients rated their aesthetic discomfort on a 100-mm visual analogue scale (VAS) and used a Likert scale (range 0-7) to quantify the magnitude of their aesthetic damage. RESULTS: The median value of the aesthetic discomfort VAS was 35.0 [interquartile range (Q1-Q3) 6.0-59.0]. The median damage was rated 3.0 (Q1-Q3 1.0-4.0), corresponding to a moderate level. Both were significantly (p < 0.02) associated with the female gender, the duration of hand OA, the radiological severity of OA (Verbruggen-Veys and Kellgren-Lawrence scales) and pain, disability, or stiffness [Australian Canadian Osteoarthritis Hand Index (AUSCAN) and Functional Index for Hand Osteoarthritis ]. After a stepwise analysis, the parameters correlated to the aesthetic discomfort were the presence of erosive joints (p = 0.0048), the AUSCAN score (p < 0.0001), the number of joints with severe radiological damage (p = 0.023), and gender (p = 0.0009). For aesthetic damage, the parameters associated were AUSCAN score (p < 0.0001), duration of hand OA >10 years (p = 0.001), and presence of erosive joints (p < 0.0001). Compared with patients with low aesthetic discomfort (VAS ≤33 mm), those with the highest discomfort (VAS ≥66 mm) had more erosive OA (p = 0.014), a higher Verbruggen and Veys score (p = 0.0039), and a higher AUSCAN score (p < 0.001). CONCLUSIONS: Aesthetic discomfort and damage are significant complaints in patients with hand OA. The determinants of the magnitude of these are gender, radiological severity, duration of hand OA, presence of erosive joints, and impact on pain, function, and stiffness as assessed with the AUSCAN.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".